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How it worksKey featuresExamplesPricingDocumentationBlog
  • Installation
  • Install LabelMe as App
  • Install LabelMe using Terminal
  • Install LabelMe using Terminal (old way)
  • Install LabelMe Toolkit
  • All released versions
  • Troubleshoot
  • Toolkit Docs
  • ai-annotate-rectangles
  • ai-rectangle-to-mask
  • export-to-voc
  • export-to-yolo
  • extract-image
  • import-from-yolo
  • json-to-mask
  • json-to-masks
  • json-to-visualization
  • list-labels
  • print-stats
  • rename-labels
  • resize-image
  • Starter Guide
  • 1. Annotate image with LabelMe
  • 2. Open and edit annotated file
  • 3. Load annotated file with Python
  • 4. Export annotated file to PNG
  • 5. Load exported files with Python
  • Dataset Guide
  • 1. Download real dataset
  • 2. Verify dataset visually
  • 3. Verify dataset statistically
  • 4. Additional data collection
  • 5. Export dataset
  • Bonus: PyTorch dataset class

3. Load annotated file with Python

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Prepare an annotated file

Prepare one you want to use. This guide uses the one created in the previous guide.

Follow the previous guide "2. Open and edit annotated file" to create an annotated file, or download it from below.

Download the edited file:

dogs_edited.json (870KB)

If you're a Starter or Pro member, sign in 🔒️ to read the rest of the guide. Or check our plans if you don't have them yet.

  • Prepare an annotated file
  • Install LabelMe using Terminal
  • Create a Python script
  • Run the Python script